Feature-Oriented Multiple Description Wavelet-Based Image Coding

We address the problem of resilient image coding over error-prone networks where packet losses occur. Recent literature highlights the multiple description coding (MDC) as a promising approach to solve this problem. In this paper, we introduce a novel wavelet-based multiple description image coder,...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 16; H. 1; S. 121 - 131
Hauptverfasser:	Liu, Y., Oraintara, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.01.2007 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Centralized control Channels Coders Data Compression - methods Error concealment Exact sciences and technology Image coding Image communication Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image transmission Information, signal and communications theory Miscellaneous multiple description coding (MDC) Numerical Analysis, Computer-Assisted Propagation losses Quantization Rate-distortion Robustness Samples Sampling, quantization scalar quantizer Signal and communications theory Signal processing Signal Processing, Computer-Assisted Statistical methods Statistics Streaming media Telecommunications and information theory tree-pruning Wavelet coefficients wavelet-based image coding State of the art Image processing Error concealment scalar quantizer Data transmission multiple description coding (MDC) Multimedia communication Optimization Multiple image Image coding Signal quantization Packet switched network Packet switching Coding errors Rate distortion theory wavelet-based image coding Statistical method tree-pruning Wavelet transformation Telecommunication network Signal processing Quantifier Error correction Image transmission Transmission loss
ISSN:	1057-7149, 1941-0042
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Zusammenfassung:	We address the problem of resilient image coding over error-prone networks where packet losses occur. Recent literature highlights the multiple description coding (MDC) as a promising approach to solve this problem. In this paper, we introduce a novel wavelet-based multiple description image coder, referred to as the feature-oriented MDC (FO-MDC). The proposed multiple description (MD) coder exploits the statistics of the wavelet coefficients and identifies the subsets of samples that are sensitive to packet loss. A joint optimization between tree-pruning and quantizer selection in the rate-distortion sense is used in order to allocate more bits to these sensitive coefficients. When compared with the state-of-the-art MD scalar quantization coder, the proposed FO-MDC yields a more efficient central-side distortion tradeoff control mechanism. Furthermore, it proves to be more robust for image transmission even with high packet loss ratios, which makes it suitable for protecting multimedia streams over packet-erasure channels
Bibliographie:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-1 ObjectType-Feature-3
ISSN:	1057-7149 1941-0042
DOI:	10.1109/TIP.2006.884935